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In this article, we apply texture shading to obtain a large number |
In this article, we apply texture shading to obtain a large number |
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of unique textures for distinguishing virtual objects. |
of unique textures for distinguishing virtual objects. |
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|
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|
\cite{ware95texture} |
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|
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% |
% |
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% Used for |
% Used for |
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% Aid to visualizing surfaces\cite{schweitzer83texturing}, |
% Aid to visualizing surfaces\cite{schweitzer83texturing}, |
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of the connected features |
of the connected features |
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(e.g. pixels on a small area should correlate enough to |
(e.g. pixels on a small area should correlate enough to |
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facilitate perception of contours). |
facilitate perception of contours). |
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|
|
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In a sense, the perception model should invert the |
In a sense, the perception model should invert the |
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visual processing to produce a unique background from |
visual processing to produce a unique background from |
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a random vector seeded by the identity. |
a random vector seeded by the identity. |
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|
This type of approach has been used by Ware and Knight\cite{ware95texture}, for inverting the earliest stage of the visual system, |
314 |
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the spatial frequency detectors, in order to place |
315 |
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information |
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in the texture channel. Their goals are in more conventional |
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visualization... |
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|
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%distinguishability: should produce random vector in brain |
%distinguishability: should produce random vector in brain |
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% (perception model in Fig.~\ref{fig-perceptual}) -- saving of bits |
% (perception model in Fig.~\ref{fig-perceptual}) -- saving of bits |